GEO SpecialistThe GEO Specialist supports the strategy and execution of Generative Engine Optimization programs for a portfolio of B2B clients. This role works predominantly across on-site content planning and Reddit distribution (the two primary channels through which Foundation builds AI visibility) contributing to strategic engagements, content planning, and performance reporting.KEY RESPONSIBILITIESGEO Research & ExecutionResearch and document the prompts, questions, and content gaps that matter most for each client's audience and competitive position.Support analysis using GEO tools such as Profound, Ahrefs, and more.Contribute to AI visibility benchmarking - tracking how clients are cited across LLMs and the AI Search space relative to competitors.Assist in the development and maintenance of GEO strategies, execution scopes,



and client-facing reporting assets.On-Site Content Planning & SupportCreate content plans which support AI citationAudit existing client content for GEO alignment and flag restructuring opportunities that could improve AI Visibility.Collaborate with writing and strategy teams to ensure content plans are executable and successfulReddit StrategyDevelop and manage Reddit strategies that build client visibility & presence in the community content sources AI models reference.Identify the right subreddits, content angles, and participation strategies for each client's audience and objectives.Plan platform-native content that earns upvotes & citation - understanding what Reddit culture demands vs. what traditional marketing assumes.Support the strategy which drives authentic Reddit presence including organic participation, strategic comment engagement, and branded posts where appropriate.Performance & ReportingTrack client KPIs including AI visibility, citation share, share of voice, AI referral traffic, prompt coverage, and Reddit engagement metrics.Contribute to regular performance reports with clear documentation of what's working, what isn't,

📌 Geo Specialist (Madrid)
🏢 Foundation
📍 Madrid